A carregar...
Self-supervised PET Denoising
PURPOSE: Early deep-learning-based image denoising techniques mainly focused on a fully supervised model that learns how to generate a clean image from the noisy input (noise2clean: N2C). The aim of this study is to explore the feasibility of the self-supervised methods (noise2noise: N2N and noiser2...
Na minha lista:
| Publicado no: | Nucl Med Mol Imaging |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Singapore
2020
|
| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7704825/ https://ncbi.nlm.nih.gov/pubmed/33282001 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13139-020-00667-2 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|